Invitation to Manufacturers & Power Generators: Join Our Near-Free Physical AI Pilot Supported by Work from Georgia Tech Senior Capstone Students

🚀 Why We’re Opening This Opportunity to Select Manufacturers

NVIDIA–Siemens–Pepsi recent announcement made something very clear to the manufacturing world:

Digital twins + AI are no longer experimental — they are becoming the operating model for modern manufacturing at scale.

Pepsi’s public roadmap — using simulation, AI, and digital twins to optimize, standardize, and scale operations globally — reflects what many manufacturers already feel: the future of manufacturing is Physical AI, not dashboards or disconnected analytics.

At TCOMT Corporation, dba, Tiemac, we’ve been building toward this reality through the TAAIB – vCPPS Platform — a Virtual Cyber-Physical Production System that unifies:

1. full-line digital twins,
2. no-code PLC logic,
3. behavior profiles (BP / AMBP),
4. and an AI intelligence layer grounded in real operational physics.

This Spring, we’re taking a unique step.

🎓 A Rare Pilot Opportunity — With Real Value, Not AI Theater

We’ve engaged Georgia Tech Senior Capstone students (Spring 2026) to further build out and deploy the intelligence layer of the TAAIB – vCPPS Platform on real manufacturing lines.

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To ground this work in reality, we are inviting manufacturing companies (globally), including power generating companies — across discrete and continuous industries — to participate in near zero-cost pilots.

For selected companies, this means:

1. A full production-line digital twin

Not a single machine — but process areas, machines, sensors, actuators, PLC logic, SKUs, and flows.

1. A “no-touch” modeling approach

No-code PLC logic, behavior profiles (BP/AMBP), and virtual commissioning without disrupting production.

1. A real AI intelligence layer

Descriptive AI, predictive maintenance, quality and flow models, and GRASP + RL optimization — all validated against your operational reality.

1. End-to-end execution

Tiemac, supported by Georgia Tech Senior Capstone team, will do the heavy lifting. Your team provides limited SME guidance to align the virtual model with your reality.

1. Private-cloud / near-edge deployment patterns

Designed for manufacturers (discrete or continuous) and power generating companies who care deeply about data governance, IP protection, and operational control.

In return, we ask only for:

1. limited SME time from operations / maintenance / controls, and
2. permission to share an anonymized case study if results are compelling.
3. Significant discount on engagement beyond the pilot period.

To learn more about the TAAIB – vCPPS Platform and the work of the Georgia Tech Capstone Student team please watch this approximately 20 minute long video

🌱 Why Apply Now

Large players like Pepsi can partner with NVIDIA and Siemens to shape the future at scale.

This initiative gives forward-looking manufacturers (regardless of size) a rare chance to:

1. experience the same class of Physical AI capability,
2. de-risk their Industry 4.0 / 5.0 journey,
3. and do so at a fraction of the usual cost and complexity.
4. Engage Georgia Tech Senior Capstone students work on a real-world plant pilot—giving them hands-on industrial experience, while your organization benefits from a structured, academically rigorous approach grounded in leading university oversight that strengthens the credibility, discipline, and defensibility of the pilot outcomes grounding.

If you’re exploring digital twins, AI in manufacturing, or how to move beyond pilots into production-ready Physical AI, this is an opportunity to be early — not late.

📩 If interested, comment or contact us through https://tiemaccorporation.com

Wherever you are in the world, let’s build the future of manufacturing — starting with the plant floor.